Top 5 Healthcare Chatbot Uses Cases & Examples 2023

14 ways to use an AI chatbot in healthcare

healthcare chatbot use case diagram

We build applications focused on predictive analytics, personalized medicine, and administrative task automation, contributing to enhanced patient care, streamlined processes, and improved operational efficiency. Hospital resource optimization involves leveraging predictive analytics to enhance the efficient allocation of resources within a healthcare facility, with a particular focus on bed management and staffing. By employing advanced algorithms, the system analyzes historical data, current patient loads, and other relevant factors to forecast future demands on hospital resources.

healthcare chatbot use case diagram

That means that all the real-time conversation data from this channel is siloed, and your agents can’t seamlessly access it from their main contact center screen or inbox. For example, your chatbot project is much more likely to be successful if you start with the most common questions or the most time-consuming questions from customers. From there, you can consider whether those can or should become self-service chatbot journeys—or whether they’re so complicated that leaving them as is would be better for customer satisfaction. These government chatbot use cases demonstrate the potential of AI technology to enhance citizen-government interactions, improve public services, and foster a more inclusive and efficient governance system. By selecting robust APIs, healthcare organizations can leverage AI-powered functionalities without disrupting their existing infrastructure. In this case, it’s necessary to prepare healthcare software by adding new back-end mechanisms and user interfaces.

Check out the healthcare chatbot we have for you

This type of chatbot is used by mental health websites and sites of medical institutes that are awaiting patients about new diseases. Informative chatbots are used to offer important inputs to the users and it is according to the audience. This means that informative chatbots help in increasing the patient experience.

For bed management, the predictive analytics model helps anticipate patient admissions, discharges, and transfers, ensuring that the right number of beds is available at any given time. Similarly, in staffing, the system predicts patient influxes and allocates appropriate personnel accordingly, preventing understaffing or overstaffing scenarios. AI is instrumental in guaranteeing the dependability and effectiveness of crucial healthcare devices. AI algorithms analyze extensive data collected from medical equipment, monitoring performance metrics and identifying patterns indicative of potential failures. By predicting equipment issues before they occur, healthcare providers can implement proactive maintenance measures, reducing the risk of unexpected breakdowns and minimizing downtime for crucial medical devices. This approach not only improves the overall reliability of healthcare infrastructure but also contributes to cost-effectiveness by optimizing maintenance schedules and resource allocation.

They can be powered by AI (artificial intelligence) and NLP (natural language processing). Acropolium has delivered a range of bespoke solutions and provided consulting services for the medical industry. The insights we’ll share in this post come directly from our experience in healthcare software development and reflect our knowledge of the algorithms commonly used in chatbots. AI chatbots in healthcare are used for various purposes, including symptom assessment, patient triage, health education, medication management, and supporting telehealth services. They streamline patient-provider communication and improve healthcare delivery.

This approach allows for the tailored implementation of AI features and ensures optimal utilization of AI-driven functionalities in the healthcare domain. AI applications throughout the healthcare operations workflow can address challenges by improving efficiency, reducing errors, enhancing decision-making, and ultimately providing better patient care. However, it’s important to note that the successful implementation of AI in healthcare requires careful consideration of ethical, legal, and privacy considerations.

healthcare chatbot use case diagram

Design-wise, ease of development, ease of access, and platform penetration have likely contributed to the prevalence of web-based and social media chatbots. For example, the built-in modules for chatbot design on social media platforms allow for fast and easy development. Coupled with the popularity of social media, this fueled deployment on social media apps such as Line, WhatsApp, Facebook Messenger, WeChat, and Telegram.

Chatbots, perceived as non-human and non-judgmental, provide a comfortable space for sharing sensitive medical information. Stay on this page to learn what are chatbots in healthcare, how they work, and what it takes to create a medical chatbot. Since chatbots are programs, they can be accessible to patients around the clock.

Minimum Viable Product (MVP) Development 101: The Main Do’s and Don’Ts

Undoubtedly, the accuracy of these chatbots will increase as well but successful adoption of healthcare chatbots will require a lot more than that. It will require a fine balance between human empathy and machine intelligence to develop chatbot solutions that can address healthcare challenges. Practo is one such application that allows users to find the best doctors with the desired specialist and confirm online appointments for video consultations. This popular healthcare app also allows users to view feedback and reviews given by other patients and book an appointment with simple clicks. This online process will reduce the burden on admins and let them better utilize their productive hours in managing the offline Ops.

Issues relating to insurance, such as questions about insurance coverage, filing claims, and proof of illness, can be solved via a chatbot. One of the most frequently used healthcare chatbot use cases is scheduling medical appointments. Here, a user (an individual or a doctor) can communicate with a chatbot and easily schedule an appointment at their preferred time without speaking to another human being.

  • For an in-depth understanding of how ZBrain revolutionizes fraud detection in healthcare, you can view the detailed Flow process on this page.
  • After we’ve looked at the main benefits and types of healthcare chatbots, let’s move on to the most common healthcare chatbot use cases.
  • This can be anything from nearby facilities or pharmacies for prescription refills to their business hours.
  • They provide preliminary assessments, answer general health queries, and facilitate virtual consultations.

It revolutionizes the quality of patient experience by attending to your patient’s needs instantly. When envisioning the future, automation, and conversational AI-powered chatbots definitely pave the healthcare chatbot use case diagram way for seamless healthcare assistance. Soon enough, organizations like WHO and CDC started adopting conversational AI-powered chatbots to provide curated information to a wide audience with ease.

real-life chatbot use cases across different industries

That data is a true gold mine of vital insights for healthcare practitioners, which can be leveraged to help make smarter decisions that improve the patient experience and quality of care. In certain situations, conversational AI in healthcare has made better triaging judgments than certified professionals with a deeper examination of patients’ symptoms and medical history. Conversational AI systems do not face the same limitations in this area as traditional chatbots, such as misspellings and confusing descriptions. Even if a person is not fluent in the language spoken by the chatbot, conversational AI can give medical assistance. In these cases, conversational AI is far more flexible, using a massive bank of data and knowledge resources to prevent diagnostic mistakes. Conversational AI in healthcare provides deeper analysis and intent recognition, allowing it to assist patients beyond contextual or grammatical errors.

healthcare chatbot use case diagram

During COVID, chatbots aided in patient triage by guiding them to useful information, directing them about how to receive help, and assisting them to find vaccination locations. A chatbot can also help patients to shortlist relevant doctors/physicians and schedule an appointment. LeewayHertz excels in aiding healthcare businesses with the automation of routine administrative tasks through AI. Specifically tailored for the healthcare sector, our solutions encompass automated appointment scheduling, billing processes, and efficient medical record management. The goal of healthcare chatbots is to provide patients with a real-time, reliable platform for self-diagnosis and medical advice.

A medical chatbot is used by healthcare providers to provide instant support to existing and potential patients. Chatbots are typically multiple-choice or follow a certain flow, but SmartBot360 uses AI to allow the chatbot to understand text when patients type in a query. A healthcare chatbot is an AI-powered software program designed to interact with users and provide healthcare-related information, support, and services through a conversational interface. It uses natural language processing (NLP) and Machine Learning (ML) techniques to understand and respond to user queries or requests.

healthcare chatbot use case diagram

Also, this automation reduces paperwork, minimises errors, and improves overall operational efficiency. Chatbots are being used as a complement to healthcare and public health workers during the pandemic to augment the public health response. The chatbots’ ability to automate simple, repetitive tasks and to directly communicate with users enables quick response to multiple inquiries simultaneously, directs users to resources, and guide their actions. This frees up healthcare and public health workers to deal with more critical and complicated tasks and addresses capacity bottlenecks and constraints. The chatbot can gather real-time data from frontline workers to enable provision of essential support, answer their questions, and provide them with real-time information.

That’s why customer onboarding is important, especially for software companies. In fact, about 77% of shoppers see brands that ask for and accept feedback more favorably. If you are already trying to leverage Chatbot for your enterprise, feel free to connect with a leading chatbot development company in India for the project. Allowing patients to schedule or request prescription refills through a chat interface makes their lives easier. The patient can send in a refill request from anywhere and doesn’t have to worry about forgetting to call during business hours or being on hold for an extended period.

Patients can easily book, reschedule, or cancel appointments through a simple, conversational interface. This convenience reduces the administrative load on healthcare staff and minimizes the likelihood of missed appointments, enhancing the efficiency of healthcare delivery. The healthcare sector is no stranger to emergencies, and chatbots fill a critical gap by offering 24/7 support. Their ability to provide instant responses and guidance, especially during non-working hours, is invaluable.

They gather and store patient data, ensure its encryption, enable patient monitoring, offer a variety of informative support, and guarantee larger-scale medical help. Patients can access insurance services and healthcare resources using chatbots. Additionally, using chatbots in conjunction with RPA or other automation systems enables the automation of medical billing, life insurance quotes, and insurance claim processing.

Sales chatbots are versatile tools designed to raise various aspects of the sales process. By leveraging artificial intelligence and natural language processing, sales chatbots streamline customer interactions, boost sales productivity, and deliver a more seamless and personalized shopping experience. Businesses can harness the power of sales chatbots to maximize their sales potential and forge stronger customer relationships. LeewayHertz designs and deploys AI-powered virtual assistants and chatbots that enhance patient engagement by providing timely information, answering queries, and offering support. These solutions contribute to a highly personalized and accessible healthcare experience, ensuring patients receive valuable assistance beyond traditional care settings.

To maintain compliance, working with knowledgeable vendors specializing in HIPAA-compliant solutions and conducting regular audits is critical. Conversational AI may diagnose symptoms and medical triaging and allocate care priorities as needed. These systems may be used as step-by-step diagnosis tools, guiding users through a series of questions and allowing them to input their symptoms in the right sequence. The benefit is that the AI conversational bot converses with you while evaluating your data. Some symptoms may indicate something dangerous that demands immediate attention.

Originally developed in response to the Ebola outbreak to reach frontline workers with basic text and audio messages,33 it can now also be implemented in WhatsApp and Facebook messenger. Despite the saturation of the market with a variety of chatbots in healthcare, we might still face resistance to trying out more complex use cases. It’s partially due to the fact that conversational AI in healthcare is still in its early stages and has a long way to go. More sophisticated chatbot medical assistant solutions will appear as technology for natural language comprehension, and artificial intelligence will be better.

This automation results in better team coordination while decreasing delays due to interdependence among teams. With that being said, we could end up seeing AI chatbots helping with diagnosing illnesses or prescribing medication. We would first have to master how to ethically train chatbots to interact with patients about sensitive information and provide the best possible medical services without human intervention. People want speed, convenience, and reliability from their healthcare providers, and chatbots, when developed well, can help alleviate a lot of the strain healthcare centers and pharmacies experience daily.

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This is a pure appointment booking chatbot aimed to drive more appointments for hospitals. If you have a call center team handling patient appointments or a generic form on your website, you can easily use this scheduling chatbot template to increase your chances of generating direct bookings. Try this chatbot and help your patients schedule appointments and consultations directly without any delay.

Adherence rates, medication numbers, and treatment check-ins are all available with a single click for each patient. Intelligent conversational interfaces address this issue by utilizing NLP to offer helpful replies to all questions without requiring the patient to look elsewhere. Furthermore, conversational AI may match the proper answer to a question even if its pose differs significantly across users and does not correspond with the precise terminology on-site.

No doubt, chatbots have good efficiency to transform the healthcare industry. They can considerably boost proficiency besides enhancing the accuracy of detecting symptoms, post-recovery care, preventive care, and feedback procedures. For instance, if a part of your hospital just works for patient satisfaction and reporting, the waiting time is zero, and with less effort, patients get a response to their queries. Chatbot becomes a vital point of communication and information gathering at unforeseeable times like a pandemic as it limits human interaction while still retaining patient engagement. Hence, it’s very likely to persist and prosper in the future of the healthcare industry. Today’s healthcare chatbots are obviously far more reliable, effective, and interactive.

The bot can also collect the information automatically – though in this case, you will need to make sure that your data privacy policy is visible and clear for users. In this way, a chatbot serves as a great source of patients data, thus helping healthcare organizations create more accurate and detailed patient histories and select the most suitable treatment plans. Using a chatbot to automate replies for common questions is another way to scale customer service. If a patient is looking for clinics near them, what insurance is accepted, or any other frequently asked question, they can simply type in their question in the medical chatbot and get an answer. Use the chatbot as another way for patients to contact your business, and route to live chat with a customer service agent when necessary.

Time is an essential factor in any medical emergency or healthcare situation. This is where chatbots can provide instant information when every second counts. You can foun additiona information about ai customer service and artificial intelligence and NLP. When a patient checks into a hospital with a time-sensitive ailment the chatbot can offer information about the relevant doctor, the medical condition and history and so on. When a patient checks into a hospital with a time-sensitive ailment, the chatbot can offer information about the relevant doctor, the medical condition and history, and so on. Chatbots assist doctors by automating routine tasks, such as appointment scheduling and patient inquiries, freeing up their time for more complex medical cases.

Both of these use cases of chatbots can help you increase sales and conversion rates. Daunting numbers and razor-thin margins have forced health systems to do more with less. Many are finding that adding an automation component to the innovation strategy can be a game-changer by cost-effectively improving operations throughout the organization to the benefit of both staff and patients.

Another advantage is that the chatbot has already collected all required data and symptoms before the patient’s visit. Equipping doctors to go through their appointments quicker and more efficiently. Not only does this help health practitioners, but it also alerts patients in case of serious medical conditions. Conversational AI consultations are based on a patient’s previously recorded medical history.

healthcare chatbot use case diagram

AI can also analyze medication data to identify patterns that can lead to adverse drug reactions and suggest alternative treatments. AI algorithms can analyze a patient’s medical history, genetic information, and lifestyle factors to predict disease risks and suggest tailored treatment options. This technology is helping medical professionals provide personalized care to their patients and improve health conditions.

In the case of Tessa, a wellness chatbot provided harmful recommendations due to errors in the development stage and poor training data. And this is not a single case when a chatbot technology in healthcare failed. Chatbots in the healthcare industry provide support by recommending coping strategies for various mental health problems. Such an interactive AI technology can automate various healthcare-related activities. A medical bot is created with the help of machine learning and large language models (LLMs). It might be challenging for a patient to access medical consultations or services due to a number of reasons, and here is where chatbots step in and serve as virtual nurses.

It’s recommended to develop an AI chatbot as a distinctive microservice so that it can be easily connected with other software solutions via API. Choosing the essential features for your minimum viable product For many entrepreneurs, having a great idea and a solid development team automatically equals the success of a future project. Chatbots are programmed by humans and thus, they are prone to errors and can give a wrong or misleading medical advice. Needless to say, even the smallest mistake in diagnosis can result in very serious consequences for a patient, so there is really no room for error. As well, virtual nurses can send daily reminders about the medicine intake, ask patients about their overall well-being, and add new information to the patient’s card. In this way, a patient does not need to directly contact a doctor for an advice and gains more control over their treatment and well-being.

healthcare chatbot use case diagram

The platform facilitates continuous, remote monitoring, allowing patients and clinicians to gain real-time insights into conditions and treatment progress. We have one more case study in the healthcare industry that explains ai chatbot helping in the billing and registration department as well. With the integration of backend systems for producing bills, a Chatbot can handle registration, inventory, payment, and insurance claims administration. Service providers can use a Chatbot to answer queries about insurance claims, processes, and coverage. The most common aspect of the website is the frequently asked questions section. Many healthcare service providers are transforming FAQs by incorporating an interactive Chatbot feature to respond to users’ general questions.

But we’ve barely started to grasp the true transformative impact of this technology on the healthcare sector. Conversational AI allows patients to stay on top of their physical health by identifying symptoms early and consulting healthcare professionals online whenever necessary. At Haptik, we’ve already witnessed the success of this tech-driven conversational approach to raising public health awareness. Want to learn more about how to start using Conversational AI chatbots in healthcare?

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If you’d like to know more about our healthcare chatbots and how we can enhance your patient experience, simply get in touch with our customer experience experts here. Each of these use cases demonstrates the versatility and effectiveness of healthcare chatbots in enhancing patient care, streamlining operations, and improving overall healthcare delivery. They send queries about patient well-being, collect feedback on treatments, and provide post-care instructions. For example, a chatbot might check on a patient’s recovery progress after surgery, reminding them of wound care practices or follow-up appointments, thereby extending the care continuum beyond the hospital. By quickly assessing symptoms and medical history, they can prioritize patient cases and guide them to the appropriate level of care. This efficient sorting helps in managing patient flow, especially in busy clinics and hospitals, ensuring that critical cases get timely attention and resources are optimally utilized.

Furthermore, AI chatbots offer a convenient way for patients to access healthcare knowledge anytime, anywhere. Patients can receive personalised support, relevant recommendations, and self-care instructions, empowering them to make informed decisions about their health. Moreover, though many chatbots leveraged risk-assessment criteria from official sources (e.g., CDC), there was variability in criteria across chatbots.

This is a paradigm shift that would be particularly useful when human resources are spread thin during a healthcare crisis. Conversational AI, on the other hand, allows patients to schedule their healthcare appointments seamlessly, and even reschedule or cancel them. With this feature, scheduling online appointments becomes a hassle-free and stress-free process for patients.

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